Formal introduction to basic theory and methods of probability and statistics: probability and sample spaces, independence, conditional probability and Bayes' theorem; random variables, distributions, moments and transformations. Parametric families of distributions and central limit theorem. Sampling distributions, traditional methods of estimation and hypothesis testing. Elements of likelihood and Bayesian inference. Basic discrete and continuous statistical models. Not open to students who have credit for or are taking Statistical Science 230, 231, 240, 250, or 432. Not open to undergraduate students.
Prerequisites
Not open to students who have credit for or are taking Statistical Science 230, 231, 240, 250, or 432. Not open to undergraduate students.
Statistical Science